A statewide framework to improve data literacy among Oregon public sector employees by identifying core competencies, learning goals, and implementation strategies across various roles and skill levels.
In this presentation, team members from the North Carolina Department of Health and Human Services provide an overview of the implementation process for cross enrollment with SNAP, WIC, and Medicaid in North Carolina.
North Carolina Department of Health and Human Services
This policy brief outlines how improved data sharing between federal agencies, state and local governments, and institutions can leverage existing data from other benefits programs to streamline eligibility processes and benefits uptake for the Affordable Connectivity Program (ACP) and other programs.
The New Mexico Human Services Department and Department of Health, as part of the Coordinating SNAP & Nutrition Supports program, leveraged data sharing to align SNAP, Medicaid, TANF, and WIC.
American Public Human Services Association (APHSA)
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
“Interoperability” refers to systems’ ability to interact with each other to share data so that a customer is connected with as many benefits as possible in an efficient way. The Affordable Care Act (ACA) was originally intended to be interoperable, but this has not occurred yet. Promoting interoperability in the ACA is imperative, as it would help alleviate food insecurity through automatic benefits enrollment.
This data playbook created by the California Health and Human services agencies discusses five plays designed to help Departments utilize data to inform program and policy development.
California Health and Human Services Agency (Cal HHS)
This guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
